About Me
Hi! I am a postdoc at the University of Virginia, working with Prof. Tom Hartvigsen. Before joining UVA, I completed my PhD in Computer Science and Engineering at IIIT Delhi, India, where I was advised by Prof. Vikram Goyal and Prof. Tanmoy Chakraborty. My research focuses on understanding and enhancing neural language generation models, particularly large language models (LLMs), and their applications in natural language processing tasks such as abstractive text summarization.
ResumeNews
- Oct 2024 - Selected as DAAD AInet fellow 2024.
- June 2024 - Joined UVA as a postdoc.
- Feb 2024 - Presented our work at the ACM ARCS symposium held at NISER Bhubaneswar.
- Dec 2023 - Gave a tutorial on AI for Mental Health at the ICON 2023 conference held in Goa.
- Nov 2023 - Received Microsoft Travel Grant to present our EMNLP paper at Singapore.
- Aug 2023 - Received Microsoft Travel Grant to present our SIGKDD paper at Long Beach, California, USA.
- Apr 2023 - Webchair for the International Conf. on Big Data and Artificial Intelligence.
Publications
-
Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph
Yash Kumar Atri, Arun Iyer, Tanmoy Chakraborty, Vikram Goyal
PaperEMNLP 2023
-
Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization
Yash Kumar Atri, Tanmoy Chakraborty, Vikram Goyal
PaperArxiv 2023
-
Multi-Document Summarization using Selective Attention Span and Reinforcement Learning
Yash Kumar Atri, Tanmoy Chakraborty, Vikram Goyal
PaperTASL 2023
-
Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents
Yash Kumar Atri, Tanmoy Chakraborty, Vikram Goyal
PaperSIGKDD 2023
-
Inline Citation Classification using Peripheral Context and Time-evolving Augmentation
Priyanshi Gupta, Yash Kumar Atri, Apurva Nagvenkar, Sourish Dasgupta, Tanmoy Chakraborty
PaperPAKDD 2023
-
See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization
Yash Kumar Atri*, Shraman Pramanick*, Vikram Goyal, Tanmoy Chakraborty
PaperKBS 2021
-
Assessing the Quality of the Datasets by Identifying Mislabeled Samples
Vaibhav Pulastya, Gaurav Nuti, Yash Kumar Atri, Tanmoy Chakraborty
PaperASONAM 2021
-
Corpora Evaluation and System Bias detection in Multi Document Summarization
Alvin Dey*, Tanya Chowdhury*, Yash Kumar Atri*, Tanmoy Chakraborty
PaperEMNLP (Findings) 2020
Patents
-
SYSTEM AND METHOD FOR TEXT SUMMARIZATION, Application Number 202311015836, Publication Number 37/2024
Simran Kalra, Yash Kumar Atri, Tanmoy Chakraborty
Patent2024
Program Committees
- Reviewer - ARR24, EMNLP23, ACL23, BDA23, ICON22, EMNLP22, ASONAM22
- Organizer & Coordinator - BDA 2023 conf, ICON 2023 conf, ACSS 2022, 2021, 2020, Cofad 2020 Workshops
Education
- Ph.D. CSE, IIIT Delhi, India, 2020-2024
- B. Tech. CSE, Jaypee University, India 2014-2018
Professional Experience
- Research Associate at LCS2-IIITD, Sep. 2019-Aug. 2019
- Software Engineer (Data Science) at Lumiq.ai, July 2018-Aug. 2019
- AI Engineer (Intern) at Lumiq.ai, Feb. 2018-Jun. 2019
- Data Scientist (Intern) at Primelite Technologies, May 2017-July 2017
- Android Developer (Intern) at Trignosoft Technologies, May 2017-June 2017
Contact
Email:
yashkumaratri@gmail.com
Work Email:
atri@virginia.edu
Phone: +1 (434)-**6-1**1 (Please drop an email)